A comprehensive survey on pretrained foundation models: A history from bert to chatgpt
Pretrained Foundation Models (PFMs) are regarded as the foundation for various
downstream tasks with different data modalities. A PFM (eg, BERT, ChatGPT, and GPT-4) is …
downstream tasks with different data modalities. A PFM (eg, BERT, ChatGPT, and GPT-4) is …
Large language models for software engineering: A systematic literature review
Large Language Models (LLMs) have significantly impacted numerous domains, notably
including Software Engineering (SE). Nevertheless, a well-rounded understanding of the …
including Software Engineering (SE). Nevertheless, a well-rounded understanding of the …
[HTML][HTML] A survey of safety and trustworthiness of large language models through the lens of verification and validation
Large language models (LLMs) have exploded a new heatwave of AI for their ability to
engage end-users in human-level conversations with detailed and articulate answers across …
engage end-users in human-level conversations with detailed and articulate answers across …
Verigen: A large language model for verilog code generation
In this study, we explore the capability of Large Language Models (LLMs) to automate
hardware design by automatically completing partial Verilog code, a common language for …
hardware design by automatically completing partial Verilog code, a common language for …
Chip-chat: Challenges and opportunities in conversational hardware design
Modern hardware design starts with specifications provided in natural language. These are
then translated by hardware engineers into appropriate Hardware Description Languages …
then translated by hardware engineers into appropriate Hardware Description Languages …
A survey of large language models for code: Evolution, benchmarking, and future trends
Z Zheng, K Ning, Y Wang, J Zhang, D Zheng… - arXiv preprint arXiv …, 2023 - arxiv.org
General large language models (LLMs), represented by ChatGPT, have demonstrated
significant potential in tasks such as code generation in software engineering. This has led …
significant potential in tasks such as code generation in software engineering. This has led …
Verilogeval: Evaluating large language models for verilog code generation
The increasing popularity of large language models (LLMs) has paved the way for their
application in diverse domains. This paper proposes a benchmarking framework tailored …
application in diverse domains. This paper proposes a benchmarking framework tailored …
Fixing hardware security bugs with large language models
Novel AI-based code-writing Large Language Models (LLMs) such as OpenAI's Codex have
demonstrated capabilities in many coding-adjacent domains. In this work we consider how …
demonstrated capabilities in many coding-adjacent domains. In this work we consider how …
Gpt4aigchip: Towards next-generation ai accelerator design automation via large language models
The remarkable capabilities and intricate nature of Artificial Intelligence (AI) have
dramatically escalated the imperative for specialized AI accelerators. Nonetheless …
dramatically escalated the imperative for specialized AI accelerators. Nonetheless …
On hardware security bug code fixes by prompting large language models
Novel AI-based code-writing Large Language Models (LLMs) such as OpenAI's Codex have
demonstrated capabilities in many coding-adjacent domains. In this work, we consider how …
demonstrated capabilities in many coding-adjacent domains. In this work, we consider how …